A study of particle swarm technique for renewable energy power systems

Phuangpornpitak, N.; Prommee, W.; Tia, Suvit; Phuangpornpitak, W.

doi:10.1109/esd.2010.5598791

Cited by 27 publications

(17 citation statements)

References 18 publications

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“…It has been used broadly for optimization function, NN teaching and etc [7]. The concept of PSO is its particle move towards each other to find pbest and gbest.…”

Section: B Pso Techniquementioning

confidence: 99%

“…Not necessitate preliminary result to trigger the iteration process. Nevertheless PSO also got some disadvantages which is it needs more parameter for tuning also required programming skills to improve and amend the algorithm to suit diverse problems [7][8][9][10]. Genetic Algorithm (GA), first announced by J. Holland in the middle 70s, is the dominant algorithm based on philosophies of natural assortment and normal heredities, used in machine learning and optimization difficulties which and has been proven.…”

Section: Introductionmentioning

confidence: 99%

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A Distribution Network Reconfiguration based on PSO: Considering DGs sizing and allocation evaluation for voltage profile improvement

Nasir

Shahrin

Bohari

et al. 2014

2014 IEEE Student Conference on Research and Development

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The optimized network reconfiguration and Distributed Generations (DG) sizing with allocation instantaneously via Particle Swarm Optimization (PSO) proposed a new way of allocation DG based on low voltage profile. This method consists of three steps. It started with categorized the switching sequences for radial network configuration while observe the P losses and the profile of voltage without DG. The second step is reconfiguration feeder for reduce losses via DGs allocation based on substations geographical location. The final step is sizing and allocation DGs at each bus with low voltage profile produced from the first step, used to mend the voltage profile and minimize the Plosses also compared the result with the geographical based allocation results. The objective of this study is to mend the voltage profile while decreasing the Plosses by using optimization technique considering network reconfiguration, DGs Sizing and allocation concurrently. Four cases are compared which is case 1 is the initial case and taken as a reference. All three stages are tested on standards IEEE 33 bus system by using Particle Swarm Optimization (PSO) technique in MATLAB software. This method proved that improvement of Plosses and voltage profile has been made by change of the switching topology with DGs sizing and allocation technique respectively.

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“…It has been used broadly for optimization function, NN teaching and etc [7]. The concept of PSO is its particle move towards each other to find pbest and gbest.…”

Section: B Pso Techniquementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Distribution Network Reconfiguration based on PSO: Considering DGs sizing and allocation evaluation for voltage profile improvement

Nasir

Shahrin

Bohari

et al. 2014

2014 IEEE Student Conference on Research and Development

View full text Add to dashboard Cite

show abstract

“…Finally, some authors [18][19][20] propose the construction of tight scenarios, based on gross domestic product (GDP), population, and large volumes of data.…”

Section: Stationary Forecasting Modelsmentioning

confidence: 99%

Solar Energy Production for a Decarbonization Scenario in Spain

2019

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Solar energy is one of the most promising sources of energy that could be used to address distributed supply problems. Global warming and decarbonization are significant global concerns, particularly for countries that are not fossil fuel providers. This paper presents a study focused on Spain, a country with a favorable location with respect to horizontal irradiance. The study addresses the future energy demand forecast and how photovoltaic energy could supply an important part of electricity needs. Our approach focuses on two analyses. First, several traditional statistical techniques are discussed in order to obtain a model that best suits Spanish energy demand forecasts for the future years. Different algorithms are compared in order to determine which is the most appropriate for the considered purpose. Second, the evolution of solar photovoltaic technology in Spain is analyzed. The latitude of Spanish cities makes them suitable for utilizing this kind of technology. In this sense, seasonal and monthly trends are identified with high levels of detail, considering a large historical dataset. The increase of the capacity of electricity generation based on this procedure is evaluated. Finally, a discussion about matching electricity demand forecasts and photovoltaic production is offered. Considering the selected model for the photovoltaic power of Spain, from 5 to 42 GW in 2030, the Spanish production is determined as 81 TWh. The obtained results suggest that a possible energy transition is feasible. However, some challenges have to be considered, such us the design of an effective strategy to store excess energy produced when generation is higher than electricity demand. In this way, the electrical distribution system could be fed by the stored energy when solar energy production is deficient.

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“…At each iteration the particles adjusted their velocity along each dimension, which gives the new particle position. Updating of each dimension is independent [5], [8], [11]. PSO algorithm is faster and less complicated than other methods.…”

Section: Simulation Techniquementioning

confidence: 99%

Assessing the Reliable Size of Distributed Energy Resources in Islanded Microgrid Considering Uncertainty

Tooryan¹,

Moghaddas-Tafreshi²,

Bathaee³

et al. 2012

IJET

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Abstract-Distributed energy resources have enormous potential and can meet the present world energy demand. The aim of this paper is minimization of net present cost of microgrid which involves investments, replacement, and operation and maintenance over its 20 years of operation. Prices are all empirical and components are commercially available. The microgrid considered in this paper consists of wind turbine (WT), photovoltaic array (PV), micro turbine (MT) and battery storage. A Particle Swarm Optimization algorithm is used to solve the optimization problem. System planning based on stipulated reliability criteria leads to robust architectures which can meet the consumers' requirements. This paper presents a method for determining sizing of resources from the available types of DER. Reliability is a measure of the system's capability to serve the demand. There are various indices which quantify the reliability of a micro grid system. Since the wind is unstable and variable energy source, and behave far differently than conventional sources, in this paper, we consider that effect as uncertainty on optimal size of WT. At last, a simulation result shows the effectiveness of the suggested microgrid.

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A study of particle swarm technique for renewable energy power systems

Cited by 27 publications

References 18 publications

A Distribution Network Reconfiguration based on PSO: Considering DGs sizing and allocation evaluation for voltage profile improvement

A Distribution Network Reconfiguration based on PSO: Considering DGs sizing and allocation evaluation for voltage profile improvement

Solar Energy Production for a Decarbonization Scenario in Spain

Assessing the Reliable Size of Distributed Energy Resources in Islanded Microgrid Considering Uncertainty

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